AI video workspace for creating videos from text or images with multiple models on one shared credit balance
Stage
Growing
Not given
Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Not given
Free credits on signup. Pay-as-you-go credit packs from $4.98 for 500 credits. Monthly subscription plans: Basic $9/month ($90/year, billed annually), Pro $29/month ($290/year, billed annually), Studio $59/month ($590/year, billed annually). Video clips start at 32 credits for the cheapest tier, ris
Key features
Removes background noise from audio and video files
Built-in noise-free recorder for direct recording
Echo and reverb reduction
Automatic volume adjustment
Support for multiple audio and video formats
Music removal and vocal isolation tools
Real-time speech enhancement using DeepFilterNet
Secure file processing with no storage on servers
Simple and intuitive user interface
Text-to-video generation from prompts
Image-to-video animation from still images
Multiple AI video models (Seedance, Kling, Veo, MiniMax, Gemini)
Multiple AI image models (Nano Banana, GPT Image, Seedream)
Shared credit balance across all models
Video clips from 3 to 30 seconds
Adjustable aspect ratios and resolutions
Browser-based generation with no GPU required
Generation history and re-runs
Credits that never expire
What makes it different
AI learns what human speech looks like and removes everything else while keeping voice natural
Processes audio and video files directly without separate extraction step
Uses DeepFilterNet for real-time speech enhancement without robotic artifacts
Completely free to try with no signup required
Handles complex, non-stationary background noise like wind and traffic
One unified account and credit balance for all video and image models instead of separate accounts per model
Purchased credits never expire, so users can use them whenever they want without pressure
Multiple cutting-edge video models available in one place for comparison and flexibility
Browser-based workspace with no installation, GPU setup, or model weights needed